Red Points works. Until it doesn't scale with your launches.

Red Points' pricing model penalizes the exact moments that should be revenue events.

A viral launch triples your counterfeit volume. Your bill follows. The vendor's incentive is now misaligned with yours: the worse your problem gets, the more they earn.

This isn't a criticism of the product. Red Points does what it was built to do. The problem is that it was built for a different type of customer — large enterprises with predictable, steady-state infringement baselines and procurement cycles measured in months. Multi-channel ecommerce brands experiencing recurring counterfeit spikes during viral launches and high-growth periods are a structurally different use case.

Most brands don't realize this until they're already on the platform.

What Red Points Does Well — Honestly

Red Points has real strengths. This section exists because honest comparisons require acknowledging them.

Scale of coverage. Red Points monitors a large number of platforms — marketplaces, social media, domains, apps. For brands with broad, stable portfolios, this breadth matters.

Established platform relationships. Red Points has been operating since 2011. Their integrations with major marketplaces and platforms are mature. Filing pipelines work reliably.

Machine learning on a large dataset. Their platform has processed substantial infringement data. The detection accuracy for typical counterfeit patterns is solid.

Enterprise credibility. If you're presenting to a board or a GC who wants to see a recognizable vendor name, Red Points is that vendor.

For an F500 brand with a stable product catalog, predictable counterfeit activity, and an IP team that manages the vendor relationship full-time, Red Points is a reasonable choice.

The problem surfaces when the customer profile changes.

Three Structural Breaks for Fast-Growing Multi-Channel Brands

Pricing scales with violations

Red Points prices by volume — tiered plans based on the number of detections and takedowns. This creates a structural misalignment: the vendor earns more when your problem gets worse.

For brands with predictable counterfeit baselines, this is manageable. Budget the line item, run within the tier, renew annually.

For fast-growing multi-channel ecommerce brands, counterfeit activity is not a steady baseline. It spikes during:

• Viral launches on TikTok or Instagram
• Major paid social campaigns
• Seasonal peaks (Q4, Prime Day adjacency)
• Press coverage or influencer moments

These spikes are not predictable in timing or magnitude. A brand running a TikTok campaign that unexpectedly goes viral can see counterfeit volume triple in 72 hours. Under a volume-based pricing model, the enforcement budget triples with it.

This is the scenario where brands start the conversation about alternatives. Not because Red Points failed to detect the counterfeits — but because the bill arrived alongside the launch revenue, and the math stopped making sense.

Attorney involvement is checkbox, not codified

Red Points' enforcement workflow uses automation for detection and human review for filing. The legal review step — determining whether a listing is actually infringing, whether the claim is defensible, whether the evidence supports the action — happens in a queue.

This is human-in-the-loop enforcement. At low volume and normal timelines, it functions. Under spike conditions, the queue becomes a bottleneck. Cases wait. Listings stay live. Revenue leaks.

More fundamentally, the legal logic lives in the heads of the review team rather than in the system. When edge cases arise — parallel imports, authorized resellers operating outside their territory, gray market goods that technically aren't counterfeit — the system escalates to humans, who make judgment calls. There is no codified framework that creates consistency across similar cases or generates an auditable record.

For brands that care about legal defensibility — and particularly for brands that have ever been counter-notified — this distinction matters.

Onboarding assumes enterprise procurement cycles

Red Points' typical onboarding timeline is 4+ weeks. For an enterprise customer with a procurement team, a legal review process, and an IP team that manages vendor relationships, this is normal.

For a fast-growing brand that just had a product go viral and needs enforcement live this week, 4 weeks is the entire launch window. The counterfeits run for a month before the protection starts.

This isn't a failure on Red Points' part. It's a product designed for a customer who plans ahead in quarters, not weeks. Multi-channel ecommerce brands operate on different timelines.

The Viral Launch Breaking Point

The pattern is consistent enough that it functions as a reliable test case for whether a brand protection vendor fits a fast-growing multi-channel ecommerce brand.

A brand runs a TikTok campaign. It unexpectedly spikes. Within 72 hours, Amazon counterfeit listings appear. Within 7 days, Shopify lookalike stores are live. Within 14 days, Meta and TikTok ads for fake versions of the product are running.

Under Red Points, the sequence typically plays out like this: detection fires on the Amazon listings. Cases enter the queue. Some get resolved within the first week. The Shopify clones and the Meta ads may or may not be within scope depending on the plan. The TikTok Shop enforcement is limited. The bill for the spike volume arrives at the end of the month.

The brand has protected part of its Amazon channel during part of its launch window. The cross-channel operation ran largely unimpeded.

This is not a vendor failure. This is a vendor operating exactly as designed — just for a use case it wasn't designed for.

What to Evaluate in the Next Vendor

If the viral launch scenario above sounds familiar, these are the structural questions to ask any replacement vendor:

Pricing model. Does cost scale with violation volume? If so, the misalignment persists. Volume-decoupled pricing — per brand, per SKU — means the enforcement budget is predictable regardless of how aggressive the counterfeit activity gets during a launch.

Onboarding time. Is same-day activation possible? This is not a universal capability. Most vendors require integration, API setup, and internal review periods. For fast-growing brands that plan launches in weeks rather than quarters, onboarding time is a filtering criterion.

Cross-channel coverage. Ask specifically about Shopify lookalikes, Meta ad enforcement, TikTok Shop, and regional marketplaces. Many vendors claim "multi-channel" and mean "Amazon plus eBay." Get the specific channel list.

Legal architecture. Is the legal logic codified in the system, or does it live in a human review queue? How are edge cases handled? What's the audit trail on each filing?

Un-registered IP. Can the platform enforce on SKUs with pending trademark applications, copyright, or trade dress? Most enterprise vendors were built around registered trademarks. Fast-growing brands frequently launch before registration completes.

A Note on Switching Cost

Switching brand protection vendors is not trivial. There's historical case data, account integrations, internal workflows, and institutional knowledge embedded in the current setup.

The legitimate switching cost argument is worth acknowledging: if the current vendor is handling 80% of the problem and switching requires six weeks of transition, the math needs to favor moving.

The calculation changes when the 20% the vendor isn't handling is disproportionately expensive — specifically, if it's the viral launch window, the cross-channel operation, or the period where your marketing spend is highest.

The brands that move most often do so after a specific incident: a launch where the counterfeits ran for three weeks before getting resolved, a spike where the enforcement bill was larger than the recovery, or an enforcement action that hit an authorized reseller and created a channel conflict.

If any of those scenarios have happened once, they will happen again.